code: def test_hugging_face_with_large_input(self):
      function_obj = MagicMock()
      function_obj.metadata = []
      text_summarization_model = TestTextHFModel(function_obj)
  
      large_text = pd.DataFrame([{"text": "hello" * 4096}])
      try:
          text_summarization_model(large_text)
      except IndexError:
          self.fail("hugging face with large input raised IndexError.")
  
file_path: evadb/test/integration_tests/long/functions/test_hugging_face.py
imports: import unittest
  import pandas
  from mock import MagicMock
  from evadb.third_party.huggingface.model import TextHFModel
label_desc: Use image node_id 1 for calling the HuggingFaceTest obj's underlying member method code with example usage: obj.test_hugging_face_with_large_input() without return types